	Zip Code	Births / 1,000 Women	vs State	vs National
1.	32304	1.0	30.0(-29.0)#1	32.0(-31.0)#1
2.	33909	1.0	30.0(-29.0)#2	32.0(-31.0)#2
3.	33974	1.0	30.0(-29.0)#3	32.0(-31.0)#11
4.	33898	1.0	30.0(-29.0)#4	32.0(-31.0)#12
5.	33467	2.0	30.0(-28.0)#5	32.0(-30.0)#36
6.	32566	2.0	30.0(-28.0)#6	32.0(-30.0)#37
7.	34772	2.0	30.0(-28.0)#7	32.0(-30.0)#44
8.	32640	2.0	30.0(-28.0)#8	32.0(-30.0)#84
9.	34472	3.0	30.0(-27.0)#9	32.0(-29.0)#118
10.	33137	3.0	30.0(-27.0)#10	32.0(-29.0)#132
11.	34691	3.0	30.0(-27.0)#11	32.0(-29.0)#135
12.	32220	3.0	30.0(-27.0)#12	32.0(-29.0)#163
13.	32565	3.0	30.0(-27.0)#13	32.0(-29.0)#196
14.	33612	4.0	30.0(-26.0)#14	32.0(-28.0)#217
15.	34748	4.0	30.0(-26.0)#15	32.0(-28.0)#223
16.	32405	4.0	30.0(-26.0)#16	32.0(-28.0)#240
17.	34715	4.0	30.0(-26.0)#17	32.0(-28.0)#251
18.	34654	4.0	30.0(-26.0)#18	32.0(-28.0)#254
19.	34286	4.0	30.0(-26.0)#19	32.0(-28.0)#268
20.	32206	4.0	30.0(-26.0)#20	32.0(-28.0)#286
21.	32615	4.0	30.0(-26.0)#21	32.0(-28.0)#287
22.	32054	4.0	30.0(-26.0)#22	32.0(-28.0)#309
23.	33990	5.0	30.0(-25.0)#23	32.0(-27.0)#402
24.	34769	5.0	30.0(-25.0)#24	32.0(-27.0)#407
25.	33607	5.0	30.0(-25.0)#25	32.0(-27.0)#426
26.	33541	5.0	30.0(-25.0)#26	32.0(-27.0)#431
27.	34957	5.0	30.0(-25.0)#27	32.0(-27.0)#435
28.	32024	5.0	30.0(-25.0)#28	32.0(-27.0)#445
29.	33523	5.0	30.0(-25.0)#29	32.0(-27.0)#453
30.	33609	5.0	30.0(-25.0)#30	32.0(-27.0)#457
31.	32407	5.0	30.0(-25.0)#31	32.0(-27.0)#474
32.	33170	5.0	30.0(-25.0)#32	32.0(-27.0)#476
33.	34291	5.0	30.0(-25.0)#33	32.0(-27.0)#510
34.	32824	6.0	30.0(-24.0)#34	32.0(-26.0)#580
35.	33801	6.0	30.0(-24.0)#35	32.0(-26.0)#596
36.	33904	6.0	30.0(-24.0)#36	32.0(-26.0)#599
37.	32080	6.0	30.0(-24.0)#37	32.0(-26.0)#640
38.	34275	6.0	30.0(-24.0)#38	32.0(-26.0)#643
39.	33912	6.0	30.0(-24.0)#39	32.0(-26.0)#650
40.	32401	6.0	30.0(-24.0)#40	32.0(-26.0)#658
41.	32091	6.0	30.0(-24.0)#41	32.0(-26.0)#665
42.	32055	6.0	30.0(-24.0)#42	32.0(-26.0)#668
43.	33469	6.0	30.0(-24.0)#43	32.0(-26.0)#673
44.	32931	6.0	30.0(-24.0)#44	32.0(-26.0)#679
45.	33042	6.0	30.0(-24.0)#45	32.0(-26.0)#730
46.	33024	7.0	30.0(-23.0)#46	32.0(-25.0)#776
47.	33056	7.0	30.0(-23.0)#47	32.0(-25.0)#792
48.	34639	7.0	30.0(-23.0)#48	32.0(-25.0)#805
49.	33805	7.0	30.0(-23.0)#49	32.0(-25.0)#817
50.	32606	7.0	30.0(-23.0)#50	32.0(-25.0)#827
51.	32926	7.0	30.0(-23.0)#51	32.0(-25.0)#830
52.	34114	7.0	30.0(-23.0)#52	32.0(-25.0)#838
53.	33815	7.0	30.0(-23.0)#53	32.0(-25.0)#879
54.	34432	7.0	30.0(-23.0)#54	32.0(-25.0)#882
55.	33015	8.0	30.0(-22.0)#55	32.0(-24.0)#998
56.	32256	8.0	30.0(-22.0)#56	32.0(-24.0)#1,004
57.	34293	8.0	30.0(-22.0)#57	32.0(-24.0)#1,006
58.	34758	8.0	30.0(-22.0)#58	32.0(-24.0)#1,010
59.	33009	8.0	30.0(-22.0)#59	32.0(-24.0)#1,011
60.	33169	8.0	30.0(-22.0)#60	32.0(-24.0)#1,015
61.	34952	8.0	30.0(-22.0)#61	32.0(-24.0)#1,020
62.	32773	8.0	30.0(-22.0)#62	32.0(-24.0)#1,038
63.	32539	8.0	30.0(-22.0)#63	32.0(-24.0)#1,048
64.	34205	8.0	30.0(-22.0)#64	32.0(-24.0)#1,049
65.	33598	8.0	30.0(-22.0)#65	32.0(-24.0)#1,057
66.	32177	8.0	30.0(-22.0)#66	32.0(-24.0)#1,062
67.	33426	8.0	30.0(-22.0)#67	32.0(-24.0)#1,070
68.	34452	8.0	30.0(-22.0)#68	32.0(-24.0)#1,134
69.	32169	8.0	30.0(-22.0)#69	32.0(-24.0)#1,162
70.	34711	9.0	30.0(-21.0)#70	32.0(-23.0)#1,280
71.	32277	9.0	30.0(-21.0)#71	32.0(-23.0)#1,305
72.	33803	9.0	30.0(-21.0)#72	32.0(-23.0)#1,313
73.	33625	9.0	30.0(-21.0)#73	32.0(-23.0)#1,317
74.	33897	9.0	30.0(-21.0)#74	32.0(-23.0)#1,318
75.	33569	9.0	30.0(-21.0)#75	32.0(-23.0)#1,324
76.	33825	9.0	30.0(-21.0)#76	32.0(-23.0)#1,329
77.	34481	9.0	30.0(-21.0)#77	32.0(-23.0)#1,336
78.	33606	9.0	30.0(-21.0)#78	32.0(-23.0)#1,342
79.	32097	9.0	30.0(-21.0)#79	32.0(-23.0)#1,347
80.	33716	9.0	30.0(-21.0)#80	32.0(-23.0)#1,358
81.	34994	9.0	30.0(-21.0)#81	32.0(-23.0)#1,364
82.	32095	9.0	30.0(-21.0)#82	32.0(-23.0)#1,380
83.	32669	9.0	30.0(-21.0)#83	32.0(-23.0)#1,383
84.	33050	9.0	30.0(-21.0)#84	32.0(-23.0)#1,412
85.	34705	9.0	30.0(-21.0)#85	32.0(-23.0)#1,488
86.	32828	10.0	30.0(-20.0)#86	32.0(-22.0)#1,541
87.	34743	10.0	30.0(-20.0)#87	32.0(-22.0)#1,560
88.	32724	10.0	30.0(-20.0)#88	32.0(-22.0)#1,562
89.	33823	10.0	30.0(-20.0)#89	32.0(-22.0)#1,577
90.	33141	10.0	30.0(-20.0)#90	32.0(-22.0)#1,579
91.	32819	10.0	30.0(-20.0)#91	32.0(-22.0)#1,607
92.	34652	10.0	30.0(-20.0)#92	32.0(-22.0)#1,614
93.	34714	10.0	30.0(-20.0)#93	32.0(-22.0)#1,616
94.	34482	10.0	30.0(-20.0)#94	32.0(-22.0)#1,627
95.	34237	10.0	30.0(-20.0)#95	32.0(-22.0)#1,648
96.	33616	10.0	30.0(-20.0)#96	32.0(-22.0)#1,665
97.	32333	10.0	30.0(-20.0)#97	32.0(-22.0)#1,686
98.	33194	10.0	30.0(-20.0)#98	32.0(-22.0)#1,706
99.	32535	10.0	30.0(-20.0)#99	32.0(-22.0)#1,738
100.	34756	10.0	30.0(-20.0)#100	32.0(-22.0)#1,753

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Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Florida?

Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Florida are:

1.0

1.0

1.0

1.0

2.0

2.0

2.0

2.0

3.0

#10

33137

3.0

What zip code has the Fewest Births per 1,000 Women Over the Age of 35 in Florida?

32304 has the Fewest Births per 1,000 Women Over the Age of 35 in Florida with 1.0.

What is the Number of Births per 1,000 Women Over the Age of 35 in the State of Florida?

Number of Births per 1,000 Women Over the Age of 35 in Florida is 30.0.

What is the Number of Births per 1,000 Women Over the Age of 35 in the United States?

Number of Births per 1,000 Women Over the Age of 35 in the United States is 32.0.